메뉴 건너뛰기




Volumn 11, Issue 1, 2020, Pages 2-13

Dealing with missing outcome data in meta-analysis

Author keywords

informative missingness odds ratio; informative missingness parameter; meta analysis; missing data; missing not at random

Indexed keywords

HALOPERIDOL; MIRTAZAPINE;

EID: 85069973362     PISSN: None     EISSN: 17592887     Source Type: Journal    
DOI: 10.1002/jrsm.1349     Document Type: Review
Times cited : (37)

References (41)
  • 2
    • 84867183673 scopus 로고    scopus 로고
    • The prevention and treatment of missing data in clinical trials
    • Little RJ, D'Agostino R, Cohen ML, et al. The prevention and treatment of missing data in clinical trials. N Engl J Med. 2012;367(14):1355-1360. https://doi.org/10.1056/NEJMsr1203730
    • (2012) N Engl J Med , vol.367 , Issue.14 , pp. 1355-1360
    • Little, R.J.1    D'Agostino, R.2    Cohen, M.L.3
  • 4
    • 68249114452 scopus 로고    scopus 로고
    • Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
    • Accessed July 7, 2017
    • Sterne JAC, White IR, Carlin JB, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ. 2009;338. http://www.bmj.com/content/338/bmj.b2393. Accessed July 7, 2017(jun29 1).
    • (2009) BMJ , vol.338 , Issue.jun29 1
    • Sterne, J.A.C.1    White, I.R.2    Carlin, J.B.3
  • 7
    • 0033546995 scopus 로고    scopus 로고
    • What is meant by intention to treat analysis? Survey of published randomised controlled trials
    • Accessed July 7, 2017
    • Hollis S, Campbell F. What is meant by intention to treat analysis? Survey of published randomised controlled trials. BMJ. 1999;319(7211). http://www.bmj.com/content/319/7211/670. Accessed July 7, 2017
    • (1999) BMJ , vol.319 , Issue.7211
    • Hollis, S.1    Campbell, F.2
  • 8
    • 68949163883 scopus 로고    scopus 로고
    • Missing data in randomized clinical trials for weight loss: scope of the problem, state of the field, and performance of statistical methods
    • Gething PW, ed
    • Elobeid MA, Padilla MA, McVie T, et al. Missing data in randomized clinical trials for weight loss: scope of the problem, state of the field, and performance of statistical methods. Gething PW, ed. PLoS ONE. 2009;4(8):e6624. https://doi.org/10.1371/journal.pone.0006624
    • (2009) PLoS ONE , vol.4 , Issue.8
    • Elobeid, M.A.1    Padilla, M.A.2    McVie, T.3
  • 9
    • 84993783243 scopus 로고    scopus 로고
    • Sensitivity analysis for incomplete categorical data
    • Kenward MG, Goetghebeur EJT, Molenberghs G. Sensitivity analysis for incomplete categorical data. Stat Modelling. 2001;1(1):31-48. https://doi.org/10.1191/147108201128078
    • (2001) Stat Modelling , vol.1 , Issue.1 , pp. 31-48
    • Kenward, M.G.1    Goetghebeur, E.J.T.2    Molenberghs, G.3
  • 10
    • 79955417678 scopus 로고    scopus 로고
    • Strategy for intention to treat analysis in randomised trials with missing outcome data
    • Statistics reader in medical and social,, Accessed July 21, 2017
    • White IR, Horton NJ, Carpenter J, Statistics reader in medical and social, Pocock SJ. Strategy for intention to treat analysis in randomised trials with missing outcome data. BMJ 2011;342. http://www.bmj.com/content/342/bmj.d40. Accessed July 21, 2017.
    • (2011) BMJ , vol.342
    • White, I.R.1    Horton, N.J.2    Carpenter, J.3    Pocock, S.J.4
  • 12
    • 34249281320 scopus 로고    scopus 로고
    • Eliciting and using expert opinions about dropout bias in randomized controlled trials
    • White IR, Carpenter J, Evans S, Schroter S. Eliciting and using expert opinions about dropout bias in randomized controlled trials. Clin Trials. 2007;4(2):125-139. https://doi.org/10.1177/1740774507077849
    • (2007) Clin Trials , vol.4 , Issue.2 , pp. 125-139
    • White, I.R.1    Carpenter, J.2    Evans, S.3    Schroter, S.4
  • 13
    • 33845912693 scopus 로고    scopus 로고
    • Is the superior efficacy of new generation antipsychotics an artifact of LOCF?
    • Leucht S, Engel RR, Bauml J, Davis JM. Is the superior efficacy of new generation antipsychotics an artifact of LOCF? Schizophr Bull. 2006;33(1):183-191. https://doi.org/10.1093/schbul/sbl025
    • (2006) Schizophr Bull , vol.33 , Issue.1 , pp. 183-191
    • Leucht, S.1    Engel, R.R.2    Bauml, J.3    Davis, J.M.4
  • 14
    • 78651256743 scopus 로고    scopus 로고
    • Multiple imputation using chained equations: issues and guidance for practice
    • White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med. 2011;30(4):377-399. https://doi.org/10.1002/sim.4067
    • (2011) Stat Med , vol.30 , Issue.4 , pp. 377-399
    • White, I.R.1    Royston, P.2    Wood, A.M.3
  • 15
    • 77950189829 scopus 로고    scopus 로고
    • CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials
    • Accessed July 7, 2017
    • Schulz KF, Altman DG, Moher D. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. BMJ. 2010;340. http://www.bmj.com/content/340/bmj.c332. Accessed July 7, 2017(mar23 1).
    • (2010) BMJ , vol.340 , Issue.mar23 1
    • Schulz, K.F.1    Altman, D.G.2    Moher, D.3
  • 16
    • 84929252277 scopus 로고    scopus 로고
    • Handling missing data in RCTs; a review of the top medical journals
    • Bell ML, Fiero M, Horton NJ, Hsu C-H. Handling missing data in RCTs; a review of the top medical journals. BMC Med Res Methodol. 2014;14(1):118. https://doi.org/10.1186/1471-2288-14-118.
    • (2014) BMC Med Res Methodol , vol.14 , Issue.1
    • Bell, M.L.1    Fiero, M.2    Horton, N.J.3    Hsu, C.-H.4
  • 17
    • 85021180298 scopus 로고    scopus 로고
    • Quality of missing data reporting and handling in palliative care trials demonstrates that further development of the CONSORT statement is required: a systematic review
    • Hussain JA, Bland M, Langan D, Johnson MJ, Currow DC, White IR. Quality of missing data reporting and handling in palliative care trials demonstrates that further development of the CONSORT statement is required: a systematic review. J Clin Epidemiol. May 2017. https://doi.org/10.1016/j.jclinepi.2017.05.009;88:81-91.
    • (2017) J Clin Epidemiol , vol.88 , pp. 81-91
    • Hussain, J.A.1    Bland, M.2    Langan, D.3    Johnson, M.J.4    Currow, D.C.5    White, I.R.6
  • 18
    • 84960089926 scopus 로고    scopus 로고
    • Reporting missing participant data in randomised trials: systematic survey of the methodological literature and a proposed guide
    • Akl EA, Shawwa K, Kahale LA, et al. Reporting missing participant data in randomised trials: systematic survey of the methodological literature and a proposed guide. BMJ Open. 2015;5(12):e008431. https://doi.org/10.1136/bmjopen-2015-008431
    • (2015) BMJ Open , vol.5 , Issue.12
    • Akl, E.A.1    Shawwa, K.2    Kahale, L.A.3
  • 19
    • 15744365927 scopus 로고    scopus 로고
    • Epidemiology and reporting of randomised trials published in PubMed journals
    • Chan A-W, Altman DG. Epidemiology and reporting of randomised trials published in PubMed journals. Lancet. 2005;365(9465):1159-1162. https://doi.org/10.1016/S0140-6736(05)71879-1
    • (2005) Lancet , vol.365 , Issue.9465 , pp. 1159-1162
    • Chan, A.-W.1    Altman, D.G.2
  • 20
    • 0042878408 scopus 로고    scopus 로고
    • Screening in brief intervention trials targeting excessive drinkers in general practice: systematic review and meta-analysis
    • Accessed July 7, 2017
    • Beich A, Thorsen T, Rollnick S. Screening in brief intervention trials targeting excessive drinkers in general practice: systematic review and meta-analysis. BMJ. 2003;327(7414). http://www.bmj.com/content/327/7414/536. Accessed July 7, 2017
    • (2003) BMJ , vol.327 , Issue.7414
    • Beich, A.1    Thorsen, T.2    Rollnick, S.3
  • 21
    • 39549089575 scopus 로고    scopus 로고
    • Intention-to-treat analysis was over-zealous—but this does not affect findings
    • White I. Intention-to-treat analysis was over-zealous—but this does not affect findings. BMJ. 2003;327(7414):536-542. https://doi.org/10.1136/bmj.327.7414.536
    • (2003) BMJ , vol.327 , Issue.7414 , pp. 536-542
    • White, I.1
  • 22
    • 70049099036 scopus 로고    scopus 로고
    • Chapter 8: Assessing risk of bias in included studies
    • Higgins JPT, Green S, eds., (Updated March 2011)., The Cochrane Collaboration, Available from
    • Higgins JPT, Altman DG, Sterne JAC. Chapter 8: Assessing risk of bias in included studies. In: Higgins JPT, Green S, eds. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (Updated March 2011). The Cochrane Collaboration, 2011 Available from www.handbook.cochrane.org.
    • (2011) Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0
    • Higgins, J.P.T.1    Altman, D.G.2    Sterne, J.A.C.3
  • 23
    • 84907273866 scopus 로고    scopus 로고
    • Evaluation of the Cochrane collaboration's tool for assessing the risk of bias in randomized trials: focus groups, online survey, proposed recommendations and their implementation
    • Savović J, Weeks L, Sterne JAC, et al. Evaluation of the Cochrane collaboration's tool for assessing the risk of bias in randomized trials: focus groups, online survey, proposed recommendations and their implementation. Syst Rev. 2014;3(1):1-12. https://doi.org/10.1186/2046-4053-3-37
    • (2014) Syst Rev , vol.3 , Issue.1 , pp. 1-12
    • Savović, J.1    Weeks, L.2    Sterne, J.A.C.3
  • 25
    • 84929945015 scopus 로고    scopus 로고
    • Reporting and handling missing outcome data in mental health: a systematic review of Cochrane systematic reviews and meta-analyses
    • Spineli LM, Pandis N, Salanti G. Reporting and handling missing outcome data in mental health: a systematic review of Cochrane systematic reviews and meta-analyses. Res Synth Methods. 2015;6(2):175-187. https://doi.org/10.1002/jrsm.1131
    • (2015) Res Synth Methods , vol.6 , Issue.2 , pp. 175-187
    • Spineli, L.M.1    Pandis, N.2    Salanti, G.3
  • 26
    • 18844418265 scopus 로고    scopus 로고
    • Uncertainty method improved on best-worst case analysis in a binary meta-analysis
    • Gamble C, Hollis S. Uncertainty method improved on best-worst case analysis in a binary meta-analysis. J Clin Epidemiol. 2005;58(6):579-588. https://doi.org/10.1016/j.jclinepi.2004.09.013
    • (2005) J Clin Epidemiol , vol.58 , Issue.6 , pp. 579-588
    • Gamble, C.1    Hollis, S.2
  • 27
    • 84882885812 scopus 로고    scopus 로고
    • Addressing continuous data for participants excluded from trial analysis: a guide for systematic reviewers
    • Ebrahim S, Akl EA, Mustafa RA, et al. Addressing continuous data for participants excluded from trial analysis: a guide for systematic reviewers. J Clin Epidemiol. 2013;66(9):1014-1021.e1. https://doi.org/10.1016/j.jclinepi.2013.03.014
    • (2013) J Clin Epidemiol , vol.66 , Issue.9 , pp. 1014-1021.e1
    • Ebrahim, S.1    Akl, E.A.2    Mustafa, R.A.3
  • 28
    • 54549102237 scopus 로고    scopus 로고
    • Imputation methods for missing outcome data in meta-analysis of clinical trials
    • Higgins JP, White IR, Wood AM. Imputation methods for missing outcome data in meta-analysis of clinical trials. Clin Trials. 2008;5(3):225-239. https://doi.org/10.1177/1740774508091600
    • (2008) Clin Trials , vol.5 , Issue.3 , pp. 225-239
    • Higgins, J.P.1    White, I.R.2    Wood, A.M.3
  • 30
    • 39549121035 scopus 로고    scopus 로고
    • Allowing for uncertainty due to missing data in meta-analysis—part 1: two-stage methods
    • White IR, Higgins JPT, Wood AM. Allowing for uncertainty due to missing data in meta-analysis—part 1: two-stage methods. Stat Med. 2008;27(5):711-727. https://doi.org/10.1002/sim.3008
    • (2008) Stat Med , vol.27 , Issue.5 , pp. 711-727
    • White, I.R.1    Higgins, J.P.T.2    Wood, A.M.3
  • 31
    • 84921442219 scopus 로고    scopus 로고
    • Allowing for uncertainty due to missing continuous outcome data in pairwise and network meta-analysis
    • Mavridis D, White IR, Higgins JPT, Cipriani A, Salanti G. Allowing for uncertainty due to missing continuous outcome data in pairwise and network meta-analysis. Stat Med. 2015;34(5):721-741. https://doi.org/10.1002/sim.6365
    • (2015) Stat Med , vol.34 , Issue.5 , pp. 721-741
    • Mavridis, D.1    White, I.R.2    Higgins, J.P.T.3    Cipriani, A.4    Salanti, G.5
  • 32
    • 84878252449 scopus 로고    scopus 로고
    • Evaluating the impact of imputations for missing participant outcome data in a network meta-analysis
    • Spineli LM, Higgins JP, Cipriani A, Leucht S, Salanti G. Evaluating the impact of imputations for missing participant outcome data in a network meta-analysis. Clin Trials. 2013;10(3):378-388. https://doi.org/10.1177/1740774512470317
    • (2013) Clin Trials , vol.10 , Issue.3 , pp. 378-388
    • Spineli, L.M.1    Higgins, J.P.2    Cipriani, A.3    Leucht, S.4    Salanti, G.5
  • 33
    • 85015902821 scopus 로고    scopus 로고
    • Analyses of sensitivity to the missing-at-random assumption using multiple imputation with delta adjustment: application to a tuberculosis/HIV prevalence survey with incomplete HIV-status data
    • Leacy FP, Floyd S, Yates TA, White IR. Analyses of sensitivity to the missing-at-random assumption using multiple imputation with delta adjustment: application to a tuberculosis/HIV prevalence survey with incomplete HIV-status data. Am J Epidemiol. 2017;185(4):304-315. https://doi.org/10.1093/aje/kww107
    • (2017) Am J Epidemiol , vol.185 , Issue.4 , pp. 304-315
    • Leacy, F.P.1    Floyd, S.2    Yates, T.A.3    White, I.R.4
  • 34
    • 39549086989 scopus 로고    scopus 로고
    • Allowing for uncertainty due to missing data in meta-analysis—part 2: hierarchical models
    • White IR, Welton NJ, Wood AM, Ades AE, Higgins JPT. Allowing for uncertainty due to missing data in meta-analysis—part 2: hierarchical models. Stat Med. 2008;27(5):728-745. https://doi.org/10.1002/sim.3007
    • (2008) Stat Med , vol.27 , Issue.5 , pp. 728-745
    • White, I.R.1    Welton, N.J.2    Wood, A.M.3    Ades, A.E.4    Higgins, J.P.T.5
  • 35
    • 84929241750 scopus 로고    scopus 로고
    • A Bayesian framework to account for uncertainty due to missing binary outcome data in pairwise meta-analysis
    • Turner NL, Dias S, Ades AE, Welton NJ. A Bayesian framework to account for uncertainty due to missing binary outcome data in pairwise meta-analysis. Stat Med. 2015;34(12):2062-2080. https://doi.org/10.1002/sim.6475
    • (2015) Stat Med , vol.34 , Issue.12 , pp. 2062-2080
    • Turner, N.L.1    Dias, S.2    Ades, A.E.3    Welton, N.J.4
  • 36
    • 0035227221 scopus 로고    scopus 로고
    • Haloperidol versus placebo for schizophrenia
    • Adams CE, ed., Chichester, UK, John Wiley & Sons, Ltd, CD003082
    • Adams CE, Bergman H, Irving CB, Lawrie S. Haloperidol versus placebo for schizophrenia. In: Adams CE, ed. Cochrane Database of Systematic Reviews. Chichester, UK: John Wiley & Sons, Ltd; 2013 CD003082. https://doi.org/10.1002/14651858.CD003082.pub3.
    • (2013) Cochrane Database of Systematic Reviews
    • Adams, C.E.1    Bergman, H.2    Irving, C.B.3    Lawrie, S.4
  • 37
    • 85043237371 scopus 로고    scopus 로고
    • Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis
    • February
    • Cipriani A, Furukawa TA, Salanti G, et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. Lancet February. 2018. https://doi.org/10.1016/S0140-6736(17)32802-7;391(10128):1357-1366.
    • (2018) Lancet , vol.391 , Issue.10128 , pp. 1357-1366
    • Cipriani, A.1    Furukawa, T.A.2    Salanti, G.3
  • 38
    • 68149099574 scopus 로고    scopus 로고
    • Meta-analysis with missing data
    • White IR, Higgins JPT. Meta-analysis with missing data. Stata J. 2009;9(1):57-69.
    • (2009) Stata J , vol.9 , Issue.1 , pp. 57-69
    • White, I.R.1    Higgins, J.P.T.2
  • 39
    • 85053867569 scopus 로고    scopus 로고
    • Allowing for informative missingness in aggregate data meta-analysis with continuous or binary outcomes: extensions to metamiss
    • Chaimani A, Mavridis D, Higgins J, Salanti G, White IR. Allowing for informative missingness in aggregate data meta-analysis with continuous or binary outcomes: extensions to metamiss. Stata J. 2018;18(3):716-740.
    • (2018) Stata J , vol.18 , Issue.3 , pp. 716-740
    • Chaimani, A.1    Mavridis, D.2    Higgins, J.3    Salanti, G.4    White, I.R.5
  • 40
    • 85055290547 scopus 로고    scopus 로고
    • Allowing for uncertainty due to missing and LOCF imputed outcomes in meta-analysis
    • Mavridis D, Salanti G, Furukawa TA, Cipriani A, Chaimani A, White IR. Allowing for uncertainty due to missing and LOCF imputed outcomes in meta-analysis. Stat Med. October 2018. https://doi.org/10.1002/sim.8009;38(5):720-737.
    • (2018) Stat Med , vol.38 , Issue.5 , pp. 720-737
    • Mavridis, D.1    Salanti, G.2    Furukawa, T.A.3    Cipriani, A.4    Chaimani, A.5    White, I.R.6
  • 41
    • 85061767073 scopus 로고    scopus 로고
    • Sensitivity analysis: the elicitation and use of expert opinion
    • Molenberghs G, Fitzmaurice G, Kenward MG, Tsiatis A, Verbeke G, eds., Boca Raton, FL, Chapman and Hall/CRC
    • White IR. Sensitivity analysis: the elicitation and use of expert opinion. In: Molenberghs G, Fitzmaurice G, Kenward MG, Tsiatis A, Verbeke G, eds. Handbook of Missing Data Methodology. Boca Raton, FL: Chapman and Hall/CRC; 2015.
    • (2015) Handbook of Missing Data Methodology
    • White, I.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.